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What is Senseye PdM?

Senseye PdM utilizes cutting-edge proprietary machine learning approaches to predict asset failures before they happen. By continuously assessing the operational performance of machinery, Senseye is able to provide precise forecasts on when maintenance should be conducted. This capability enables maintenance teams to focus their resources on the most critical assets needing immediate attention. With a straightforward implementation process, organizations can lower their maintenance costs while improving the accuracy of their downtime forecasts. Built with scalability in mind, Senseye PdM can support any number of connected devices, regardless of size. The automated condition monitoring delivers insights that spotlight only the most crucial data. Users are informed about the expected operational lifespan of their machinery prior to the need for maintenance. Moreover, the platform facilitates the analysis of thousands of assets, offering clear and continuous updates on which machines require intervention. In addition to minimizing machine downtime, Senseye empowers industrial companies to enhance their operational efficiency and overall productivity. Thus, through its innovative approach, Senseye PdM not only optimizes maintenance strategies but also supports long-term asset management goals.

What is Elemental Machines?

Leading laboratories worldwide are utilizing the extensive software and hardware solutions provided by Elemental Machines to bridge the gap between their existing equipment and the cloud, which enables them to centralize a vast array of data onto a unified dashboard or seamlessly integrate with their preferred systems via APIs. Collaborating with Elemental Machines empowers laboratories to observe their assets in real-time and receive prompt notifications, making it possible to monitor every element from virtually anywhere at any time. This cutting-edge strategy aggregates data from multiple assets into a singular IoT platform, promoting real-time monitoring, informed decision-making, and effortless compatibility with existing systems. Furthermore, the introduction of autonomous quality checkpoints at key stages of the manufacturing or research processes significantly reduces waste and mitigates regulatory challenges. As laboratory teams gradually resume their activities, our complimentary tool equips lab managers with the agility to effectively organize asset usage and prepare their teams for peak performance. Users can conveniently schedule routine maintenance and keep stakeholders updated about any anticipated asset downtime, thereby boosting operational efficiency. This comprehensive strategy not only simplifies laboratory management but also nurtures an environment conducive to innovation, ultimately driving progress in research and development. As laboratories continue to evolve, embracing such advanced solutions will be pivotal for maintaining a competitive edge in their respective fields.

Media

Media

Integrations Supported

SciSure

Integrations Supported

SciSure

API Availability

Has API

API Availability

Has API

Pricing Information

Pricing not provided.
Free Trial Offered?
Free Version

Pricing Information

Pricing not provided.
Free Trial Offered?
Free Version

Supported Platforms

SaaS
Android
iPhone
iPad
Windows
Mac
On-Prem
Chromebook
Linux

Supported Platforms

SaaS
Android
iPhone
iPad
Windows
Mac
On-Prem
Chromebook
Linux

Customer Service / Support

Standard Support
24 Hour Support
Web-Based Support

Customer Service / Support

Standard Support
24 Hour Support
Web-Based Support

Training Options

Documentation Hub
Webinars
Online Training
On-Site Training

Training Options

Documentation Hub
Webinars
Online Training
On-Site Training

Company Facts

Organization Name

Senseye

Date Founded

2014

Company Location

United Kingdom

Company Website

senseye.io

Company Facts

Organization Name

Elemental Machines

Date Founded

2015

Company Location

United States

Company Website

elementalmachines.com

Categories and Features

IoT

Application Development
Big Data Analytics
Configuration Management
Connectivity Management
Data Collection
Data Management
Device Management
Performance Management
Prototyping
Visualization

OEE

Benchmarking
Cost Tracking
Downtime Tracking
Historical Reporting
Performance Metrics
Quality Control
Real Time Reporting
Root Cause Analysis
Trend Analysis
Work Order Management

Preventive Maintenance

Condition Monitoring
Inspection Management
Maintenance Scheduling
Mobile Access
Predictive Maintenance
Purchasing
Reminders
To-Do List
Vendor Management
Work Order Management

Categories and Features

Data Management

Customer Data
Data Analysis
Data Capture
Data Integration
Data Migration
Data Quality Control
Data Security
Information Governance
Master Data Management
Match & Merge

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